> Markdown version of [/jobs/ext/595412-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/595412-ai-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI / ML Engineer

- **Company:** Insight Global
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software Debugging, Monitoring of Systems, Python (Programming Language), Machine Learning, Enterprise Messaging Systems, Natural Language Processing, Search Technologies, Flask (Web Framework), Large Language Models, Multi-Agent Systems, Generative AI, Backend, Fastapi, Event Driven Architecture, Containerization, Kubernetes, Data Analytics, Restful APIs, Artificial Intelligence Markup Language (AIML), GPT, Docker, Microservices
- **Published:** June 21, 2026
- **Apply:** https://www.juju.com/job/00000000g9xwh1

## About the Role

A highly skilled Senior Python engineer and LLM engineer

 - Executing both planning and hands-on technical work independently.

 - Collaborating effectively with Product Owners and other stakeholders to solve complex problems.

 - Working cross-functionally to contribute to impactful solutions across teams

 - Continuously developing your technical expertise and staying up-to-date with new technologies.

 - Being passionate, intellectually curious, and driven to expand your skills and knowledge.

 - Using a data-driven approach to solve technical challenges and make informed decisions.

 - Applying your systems-level thinking, integrating both data science and engineering principles.

 - Taking full ownership of the features and projects you work on, delivering high-quality solutions on your own., Strong experience with Python, particularly in building REST APIs using frameworks like FastAPI or Flask.

 - Expertise in microservices architecture and deployment in containerized environments (e.g., Docker, Kubernetes).

 - Strong knowledge in AI, machine learning, and natural language processing

 - Strong experience working with key LLM models APIs (e.g. OpenAI, Anthropic) and LLM Frameworks (e.g. LangChain, LlamaIndex)

 - Experience with MCP, Model Context Protocol.

 - Understanding of multi-agent systems and their applications in complex problem-solving scenarios.

 - Experience with RAG concepts and fundamentals (vectorDBs, semantic search, etc.)

 - Expertise in implementing RAG systems that combine knowledge bases with generative AI models.

 - Experience with prompt writing for various use cases

 - Experience with generative solutions released to prod, at scale, beyond POCs

 - Proficiency with server-side events, event-driven architectures, and messaging systems.

 - Strong problem-solving skills and experience debugging and optimizing backend systems.

 - Solid understanding of security best practices for backend systems, including authentication and data protection. - Experience with LLM guardrails

 - Experience with LLM monitoring and observability

 - Experience developing AI/ML technologies within large and business critical applications

## Description

The AI ML Engineer will join an existing development team to enhance and expand a complex, dynamic application. The role requires strong communication skills and technical expertise across the stack. You will collaborate with global teams spanning multiple time zones and actively contribute to ongoing feature development. This role will be sitting out of India and require to work from 12:00-8:00pm IST.


## Related Videos

- [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge)
- [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi)
- [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered)
- [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension)
- [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai)
- [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker)

## Related Articles

- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [Who Owns Your Content in the Age of LLMs?](https://www.wearedevelopers.com/magazine/610-who-owns-your-content-in-the-age-of-llms)
- [ Dev Digest 213: Petrol Prices, Agentic Workflows, AI Skills and CODE100!](https://www.wearedevelopers.com/magazine/718-dev-digest-213-petrol-prices-agentic-workflows-ai-skills-and-code100)