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Agentic Developers Jobs in Indiana (NOW HIRING)

The AI Engineer is Lasting Change's first dedicated AI role, joining an established Data ... Agentic Workflows & Process Automation * Design and deploy agentic workflows that automate multi ...

Description The AI Engineer is Lasting Change's first dedicated AI role, joining an established ... Agentic Workflows & Process Automation * Design and deploy agentic workflows that automate multi ...

Senior Agentic Identity Security Manager

Carmel, IN · On-site

$113K - $155K/yr

Specialist Forward Deployed Engineers focused on the emerging agentic AI identity stack, designing and implementing identity solutions for AI agents, MCP servers, and autonomous workflows. This role ...

Translate AI innovation concepts (GenAI / agentic patterns) into real applications with enterprise ... Establish and evolve engineering standards for innovation delivery (reference architectures ...

This role requires a rare combination of veteran engineering judgment-honed over 15 to 20+ years of building massive production systems-and cutting-edge expertise in agentic loops, reinforcement ...

Architect and deliver scalable, resilient AI solutions leveraging technologies such as agentic ... Partner with engineering teams and stakeholders to enable adoption of AI-assisted development and ...

Architect and deliver scalable, resilient AI solutions leveraging technologies such as agentic ... Partner with engineering teams and stakeholders to enable adoption of AI-assisted development and ...

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Agentic Developers information

Is agentic AI going to replace developers?

Agentic AI refers to systems capable of autonomous decision-making, which can assist developers by automating routine tasks and code generation. However, it is unlikely to fully replace developers, as human oversight, creativity, and problem-solving remain essential in software development. Developers will continue to adapt by working alongside AI tools and focusing on complex, strategic aspects of their work.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles may involve leading projects, developing innovative algorithms, and working in competitive tech environments, with compensation reflecting expertise and experience.

What are the key skills and qualifications needed to thrive as an Agentic Developer, and why are they important?

To thrive as an Agentic Developer, you need a solid background in software engineering, AI/ML concepts, and agent-based systems, often supported by a degree in computer science or related fields. Familiarity with frameworks such as LangChain, OpenAI APIs, and experience with cloud platforms and workflow orchestration tools are typically expected. Strong problem-solving, critical thinking, and effective communication skills set top performers apart in this emerging field. These competencies enable Agentic Developers to design, build, and manage intelligent, autonomous agents that deliver innovative solutions and adapt to complex real-world tasks.

What is an agentic developer?

An agentic developer is a software developer who takes initiative and responsibility for their work, often demonstrating autonomy and proactive problem-solving. They are skilled in coding, collaboration, and may use tools like version control systems to manage projects effectively.

What is the difference between Agentic Developers vs Software Engineers?

AspectAgentic DevelopersSoftware Engineers
Required CredentialsBachelor's in Computer Science or related field, coding certificationsBachelor's in Computer Science or related field, coding certifications
Work EnvironmentCollaborative teams, project-based settings, tech companiesDevelopment teams, tech firms, startups, corporate IT departments
Employer & Industry UsageTech startups, software firms, digital agenciesTech companies, software development firms, enterprise IT
Search & Comparison IntentYesYes

Agentic Developers and Software Engineers share similar credentials and work environments, often overlapping in tech companies and startups. However, Agentic Developers typically emphasize a proactive, autonomous approach to project execution, whereas Software Engineers focus more on designing, coding, and maintaining software solutions. Understanding these distinctions helps employers and job seekers align expectations and roles effectively.

How do Agentic Developers typically collaborate with cross-functional teams to implement autonomous systems?

Agentic Developers often work closely with data scientists, UX/UI designers, and product managers to build and integrate autonomous agents within larger software systems. Collaboration usually involves regular sprint meetings, sharing progress on task automation, and aligning system behaviors with user and business requirements. This multidisciplinary teamwork ensures that agentic solutions are robust, user-friendly, and aligned with organizational goals. Open communication and a willingness to iterate on feedback are key to success in this role.

Are agentic AI developers in demand?

Agentic AI developers are in high demand as organizations seek professionals skilled in designing autonomous and adaptive AI systems. The role typically requires expertise in machine learning, programming, and AI frameworks, with job growth driven by increasing adoption of intelligent automation across industries.

What are agentic developers?

Agentic developers are software professionals who design, build, or work with systems that exhibit agency—meaning the system can make autonomous decisions and take actions to achieve specific goals. These developers often focus on creating advanced AI agents, multi-agent systems, or applications that integrate autonomous behaviors. Their work typically involves a mix of programming, machine learning, and system design to enable intelligent, proactive software. Agentic developers are increasingly in demand as AI-driven applications become more common across industries.
What are popular job titles related to Agentic Developers jobs in Indiana? For Agentic Developers jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Agentic Developers jobs in Indiana look for? The top searched job categories for Agentic Developers jobs in Indiana are:
What cities in Indiana are hiring for Agentic Developers jobs? Cities in Indiana with the most Agentic Developers job openings:
Software Engineering SMTS, Salesforce / Agentforce

Software Engineering SMTS, Salesforce / Agentforce

Salesforce, Inc.

Indianapolis, IN • On-site

$53 - $70.25/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 2 days ago


Salesforce rating

8.0

Company rating: 8.0 out of 10

Based on 57 frontline employees who took The Breakroom Quiz

104th of 209 rated software companies


Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software Engineering
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Agents and AI are fast evolving technologies. The Agentic Selling Team within Digital Experience Technology is building production AI agents that transform how Salesforce's global sales organization operates. As Customer Zero for Agentforce, we pioneer agent development patterns that influence product strategy and define enterprise AI standards. We are looking for a Senior Software Engineer who thrives in a fast-paced environment, delivers high-quality solutions independently, and drives technical excellence. You will architect and build sophisticated agent systems using Agentforce, Agent Script, and New Graph Architecture while integrating with Salesforce CRM, Data Cloud, and external platforms.
The Experience
  • Design and build sophisticated agent architectures using Agentforce Builder, Agent Script, and NGA for production systems serving 15,000+ users
  • Architect multi-node agent orchestration, sub-agent patterns, and agentic workflows for complex sales use cases.
  • Lead implementation of agent memory systems, context management, and conversation state handling for personalized experiences
  • Develop and optimize RAG patterns, retrieval strategies, and prompt engineering techniques to improve agent quality and accuracy
  • Build scalable integrations connecting agents to Salesforce Data Cloud, Einstein, MuleSoft, and external APIs and MCP.
  • Design and implement content ingestion pipelines processing structured and unstructured data (PDFs, web content, documents) for agent knowledge bases
  • Drive platform migrations (e.g., Graph to Agent Script, legacy to NGA) while maintaining zero downtime for production systems
  • Implement agent observability, monitoring, and debugging capabilities to track conversation quality and user satisfaction
  • Mentor junior engineers through code reviews, technical guidance, and knowledge sharing
  • Make critical technical decisions on agent design patterns, performance optimization, and scalability
  • Work in an Agentic Agile engineering model leading design discussions, implementation, and delivery of major features
  • Participate in architecture reviews and contribute to technical roadmap planning
  • Lead UAT efforts, production deployments, and maintain high availability standards through bi-weekly release cycles

What You'll Actually Be Doing
  • Design and build smart agent systems that help over 15,000 users do their jobs better.
  • Create systems that help agents "remember" conversations and manage data so they can provide personal experiences.
  • Build connections between agents and tools like Salesforce Data Cloud and other apps to make sure everything works together smoothly.
  • Mentor junior team members by reviewing their code and sharing your technical knowledge.
  • Lead design discussions and make big decisions about how we build features that scale.
  • Test and improve our systems to make sure they run perfectly and stay reliable for all our users.

You're Our Person If...
  • 6+ years of development experience as a software engineer with demonstrated growth in technical complexity and scope
  • Strong experience with backend development in Java, Python, or at least one object-oriented compiled, statically-typed language (C++, C#)
  • Deep knowledge of AI/ML frameworks and hands-on experience working with large language models (e.g., OpenAI, Anthropic, Claude, Gemini, Llama)
  • Proven experience with prompt engineering, RAG architectures, and building production LLM-based applications or agents
  • Experience with conversational AI, chatbots, or agent development platforms (Agentforce experience strongly preferred)
  • Experience with cloud infrastructure (e.g., AWS, GCP, Heroku) and designing scalable, distributed system architectures
  • Proficiency in data processing, vector databases, embeddings, semantic search, and retrieval optimization
  • Strong understanding of Salesforce platform (Apex, LWC, Data Cloud, Platform Events) or equivalent enterprise platform experience
  • Experience with RESTful APIs, GraphQL, event-driven architectures, and microservices patterns
  • A related technical degree required
  • Excellent verbal and written communication skills with ability to influence technical decisions and collaborate across organizations
  • Strong experience in test-driven development including unit testing, integration testing, and end-to-end automation for AI systems
  • Proven ability to debug complex production issues, optimize system performance, and resolve customer-impacting problems
  • Experience with developer tools such as Git, Docker, Kubernetes, Terraform, CI/CD pipelines (Jenkins, GitHub Actions, Spinnaker)
  • Track record of mentoring engineers and elevating team technical capabilities
  • Experience delivering large-scale features used by thousands of users with measurable business impact

Even Better If...
  • Hands-on experience building agents with Salesforce Agentforce or Agent Builder
  • Experience with agent orchestration frameworks, multi-agent systems, and agentic AI architectures
  • Deep expertise in prompt optimization, fine-tuning LLMs, and model evaluation techniques
  • Experience with Customer Zero or early adopter programs influencing product development
  • Knowledge of data engineering, ETL pipelines, and content processing at scale
  • Experience with observability tools (Grafana, Datadog) and monitoring agent systems in production
  • Contributions to technical communities, open-source projects, or conference speaking

Unleash Your Potential
When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.

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