Interview Type: Inperson Interview will be Needed for the final round ( 2 to 3 rounds of interview)
Job Title: Senior GenAI & Agent Development Consultant
We are seeking a highly skilled and hands-on Consultant specializing in Generative AI (GenAI) and intelligent agent development.
The ideal candidate will have 7-15 years of experience in AI and Machine Learning, with a strong track record of designing, architecting, and implementing scalable AI solutions. You will play a critical role in driving end-to-end product development, from conceptualization to deployment, with a keen focus on scalability, reliability, and business value.
What you will do:
Architect, design, and implement GenAI solutions and agent-based systems tailored to business needs.
Lead hands-on prototyping, development, and optimization of GenAI solutions and agent frameworks.
Drive key technical decisions and offer expert guidance on best practices in AI, ML, and agent development.
Collaborate with cross-functional teams to understand product requirements, deliver high-quality solutions, and ensure maintainability and scalability.
Evaluate latest trends, tools, and technologies in GenAI, LLMs, and agent orchestration.
Mentor internal teams, ensuring knowledge transfer.
Translate business goals into technical roadmaps and actionable deliverables.
Skills Required:
7 15 years proven experience in AI/ML engineering, architecting and delivering real-world products or platforms.
Deep, practical expertise with LLMs, GenAI frameworks (OpenAI, LangChain, etc.), and agent development.
Strong programming skills (e.g., Python) and architectural experience with distributed, scalable systems.
Hands-on experience designing and developing AI/ML models, GenAI applications in production environments (cloud/on-premise).
Experience with evaluation, observability/monitoring of GenAI solutions.
Strong understanding of microservices, API design, CI/CD, containerization, and MLOps practices.
Excellent communication skills and ability to drive technical vision collaboratively.
Track record of delivering high-quality AI products with scalability, maintainability, and observability in mind.
Familiarity with Agile development and DevOps concepts
Nice to have:
Experience with DevOps and CI/CD in ML workflows is a plus.
Experience in agentic process automation or AI copilots
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