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Chroma Technology Jobs (NOW HIRING)

SysMind Tech

Gen-AI Engineers

Jersey City, NJ · On-site

$65 - $70/hr

Design, develop, and implement Generative AI solutions using LLMs and related AI technologies ... Experience with vector databases such as Pinecone, FAISS, Chroma, Weaviate, Milvus, or Azure AI ...

Tata Consultancy Services

AI/ML Engineer

Charlotte, NC · On-site

... similar technologies. • Strong knowledge of RAG patterns, vector databases (FAISS, Pinecone, Chroma, Milvus, Redis), and embedding optimization. • Experience with CI/CD pipelines, automated ...

Centraprise Corp

AI/ML Engineer

Charlotte, NC · On-site

Experience building scalable data pipelines using Spark, Databricks, or similar technologies. * Strong knowledge of RAG patterns, vector databases (FAISS, Pinecone, Chroma, Milvus, Redis), and ...

Tata Consultancy Services

AI/ML Engineer

Charlotte, NC · On-site

... similar technologies. • Strong knowledge of RAG patterns, vector databases (FAISS, Pinecone, Chroma, Milvus, Redis), and embedding optimization. • Experience with CI/CD pipelines, automated ...

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How much do chroma technology jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for chroma technology in the United States is $56.30, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $57.69 per hour, depending on experience, location, and employer.

What is the difference between Chroma Technology vs Color Scientist?

AspectChroma TechnologyColor Scientist
Required CredentialsBachelor's or Master's in Chemistry, Physics, or related fieldAdvanced degree (Master's or PhD) in Color Science, Physics, or related
Work EnvironmentManufacturing, R&D labs, quality controlResearch institutions, corporate R&D, consulting
Industry UsageOptical filters, lighting, display technologyColor measurement, color matching, research
Common Search/ComparisonChroma Technology vs Color Scientist

Chroma Technology professionals typically focus on manufacturing and applying optical filters and lighting solutions, requiring practical technical skills. In contrast, Color Scientists often engage in research, development, and analysis of color phenomena, usually holding advanced degrees. Both roles are vital in industries like optics and display technology but differ in their focus and expertise level.

What is Chroma Technology and what do they do?

Chroma Technology is a manufacturer specializing in optical filters and related products used in scientific and industrial applications. Founded in 1991, the company designs and produces high-performance optical filters for fluorescence microscopy, spectroscopy, and imaging systems. Their products are vital for research in life sciences, physics, and materials science, enabling precise detection and analysis of light. Chroma Technology is also known for its employee-owned structure and commitment to sustainability. They serve customers worldwide, including academic institutions, research labs, and industry partners.

What are the key skills and qualifications needed to thrive as an Optical Coatings Engineer at Chroma Technology, and why are they important?

To thrive as an Optical Coatings Engineer at Chroma Technology, you need a strong background in physics, optics, and materials science, typically supported by a relevant engineering degree. Experience with thin film deposition techniques, optical design software, and quality control systems is highly valued. Attention to detail, problem-solving skills, and effective communication are important soft skills for collaborating with teams and ensuring precision. These skills and qualities are critical for developing high-performance optical products that meet rigorous industry standards.

What types of teams and professionals does a Chroma Technology employee typically collaborate with on projects?

At Chroma Technology, employees often work closely with cross-functional teams that may include optical engineers, production technicians, quality assurance specialists, and sales representatives. Collaboration is key, as many projects require input from both technical and commercial perspectives to ensure product specifications meet customer needs and manufacturing standards. Team members regularly participate in meetings to discuss project progress, address challenges, and share expertise. This collaborative environment helps employees develop a broad skill set and a strong understanding of the full product lifecycle.
More about Chroma Technology jobs
What states have the most Chroma Technology jobs? States with the most job openings for Chroma Technology jobs include:
What job categories do people searching Chroma Technology jobs look for? The top searched job categories for Chroma Technology jobs are:
Chroma Technology jobs near you
Generative AI Applications Engineer (Agents & RAG)

Generative AI Applications Engineer (Agents & RAG)

Accenture Federal Services

Seattle, WA • On-site

Full-time

Re-posted 17 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

50th of 451 rated business services

Job description

Job Summary:
Accenture Federal Services is dedicated to enhancing the capabilities of the US federal government through technology and innovation. The Generative AI Applications Engineer will be responsible for developing secure and scalable GenAI applications, focusing on agentic workflows and RAG systems for various federal missions.
Responsibilities:
• Design & ship mission grade GenAI: Build agentic workflows and RAG systems tailored to mission data and environments; target low hallucination, tight p95 latency, and predictable cost.
• Agent frameworks & orchestration: Apply patterns from LangChain/LlamaIndex/Semantic Kernel; design task decomposition, tool use, guardrails, and recovery/fallback strategies.
• Platform integration (no model training): Implement with AWS Bedrock, Azure OpenAI, Google Vertex AI, Amazon Kendra, and managed services (e.g., Document AI, Gemini, Gemma).
• LLM selection & evaluation: Compare models for quality, safety, latency, cost; author/test prompts & policies; deploy with observability and safe rollback/fallback.
• RAG done right: Build retrieval pipelines & vector search (Pinecone, Weaviate, OpenSearch, pgvector, FAISS/Chroma); handle data prep, chunking, metadata, and IRstyle evals (e.g., NDCG) to maximize signal to noise.
• Production rigor: Instrument metrics/logs/traces; run A/B experiments; maintain incident playbooks; and implement safety & compliance guardrails.
• SRE & FinOps for AI: Define SLIs/SLOs (quality/latency/safety/cost), run on call and postmortems, reduce MTTR; meter usage and optimize token/spend.
• Reusable platform components: Ship SDKs, CI/CD templates, Terraform/IaC modules, evaluation harnesses that accelerate multiple mission team not one-off projects.
• Operate in real world constraints: Deliver into hybrid, restricted, or air gapped environments with Zero Trust principles and audit ready controls.
Qualifications:
Required:
• End-to-end ownership of production systems: integration → deployment → observability → incident response.
• Hands-on experience with LLMs, transformer based apps, and RAG in production.
• Strong Python
• Experience with vector search and retrieval (Pinecone, Weaviate, OpenSearch, pgvector, FAISS/Chroma) and grounding AI in enterprise/mission data.
• U.S. Citizenship
Preferred:
• Integration with leading cloud AI services or on prem inference stacks
• Background in LLM evaluation, prompt authoring/testing, A/B experimentation, and LLM Ops.
• Responsible AI expertise (privacy, security, bias, transparency, human in the loop) and data governance.
• Experience implementing tool using agents for API integration and external data access.
• Containerization & orchestration (Docker, Kubernetes, VMware) and scripting/automation (Linux Bash, PowerShell).
• Prior work in regulated/secure environments (e.g., ATO, STIGs, Zero Trust) with fast shipping.
• Familiarity with NVIDIA AI Foundations, OpenAI ChatGPT, and AI assisted dev tools (Cursor, Windsurf, Claude).
• Contributions to internal frameworks or opensource; mentorship of engineers.
• Clear communication with engineers, PMs, and security/compliance stakeholders.
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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