Senior AI Engineer (Generative AI & Agentic Systems)

Developer Role and Responsibilities :

In this role, you will design, build, and deploy production-grade Generative AI and Agentic AI solutions that automate complex business processes and augment enterprise workflows. You will work across the full delivery lifecycle, from solution design and prompt/agent architecture through development, evaluation, and deployment, partnering closely with automation, data, and platform teams. Responsibilities will include hands-on development of LLM-powered applications, technical solutioning with stakeholders, and mentoring of junior developers on GenAI best practices. You will work closely with our team of award-winning business and technical specialists and leaders.

Key Responsibilities :

- Design and develop LLM-powered applications, including RAG (Retrieval-Augmented Generation) pipelines, agentic workflows, and multi-step autonomous agents using frameworks such as LangChain and LangGraph

- Build and optimize retrieval architectures using vector databases (e.g., ChromaDB) and semantic search to ground LLM responses in enterprise data.

- Apply prompt engineering techniques to improve accuracy, reliability, and cost-efficiency of LLM-based solutions across both hosted (OpenAI API, Claude Code, Claude) and offline/self-hosted models.

- Serve as a technical point of contact for clients and internal stakeholders on AI solution design, feasibility, and delivery timelines.

- Integrate GenAI solutions with existing enterprise systems via REST APIs, webhooks, and cloud services (AWS Lambda, Azure) to ensure secure, scalable deployment.

- Extend or modernize existing RPA/automation assets (e.g., Blue Prism, code-based automation frameworks) by incorporating AI-driven decisioning and self-healing capabilities.

- Coordinate the development, review, and documentation of AI solution deliverables (solution design documents, evaluation reports, deployment runbooks).

- Establish CI/CD and monitoring practices for AI applications using tools such as Git, GitHub Actions, Jenkins, and Splunk.

- Identify risks related to model performance, data quality, and security; mitigate roadblocks during development, testing, or deployment.

Qualifications and Skills

- Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent education and experience.

- Minimum 5–8 years of software development experience, including at least 2 years building Generative AI or Agentic AI applications in production.

- Hands-on experience with LLM application frameworks (LangChain, LangGraph) and LLM APIs (OpenAI API or equivalent).

- Strong understanding of RAG architectures, prompt engineering, and vector databases (e.g., ChromaDB or similar).

- Proficiency in Python; working knowledge of C#, JavaScript, and SQL.

- Experience with cloud platforms and services (AWS Lambda, Amazon DynamoDB, Azure) and REST API integration.

- Experience with DevOps tooling (Git/GitHub, GitHub Actions, Jenkins) and application monitoring (e.g., Splunk).

- Background in RPA or process automation (e.g., Blue Prism, UiPath, or Automation Anywhere) is a strong plus.

- Understanding of IT delivery methodologies (Agile, Lean, ITIL).

- Excellent planning, problem-solving, and technical leadership skills.

Desired characteristics in candidates :

- Self-motivated and able to take initiative with minimal supervision.
Senior AI Developer (Generative AI & Agentic Systems)

- Effective communicator, able to translate technical AI concepts for non-technical stakeholders.

- Highly organized and methodical, while comfortable adapting to changing requirements.

- Strong analytical and problem-solving skills, with a bias toward experimentation and iteration.

- High emotional intelligence and cross-functional collaboration skills.

- Demonstrated willingness to dive into implementation details to guide projects to completion.

- Team-oriented, with an interest in mentoring and knowledge-sharing.

- Curious and committ