Description :

We are seeking a senior AI / Generative AI expert with 6+ years of overall software engineering experience and 3+ years of hands-on experience in AI and Generative AI, to build end-to-end Agentic AI solutions focused on migration, legacy modernization, and enterprise system transformation.

What will your job look like?

- Design and develop end-to-end AI and Generative AI solutions, including Agentic AI workflows for migration and modernization use cases.

- Build POCs and production-grade AI solutions to support application, code, and data migration initiatives.

- Apply AI techniques to analyze, understand, and transform legacy systems into modern architectures.

- Evaluate, select, fine-tune, and optimize foundation models for migration-specific scenarios (code understanding, refactoring, translation, documentation).

- Build AI pipelines covering data ingestion, embeddings, RAG, agents, evaluation, and monitoring.

- Apply prompt engineering, fine-tuning, and LoRA/PEFT to improve accuracy in migration-related tasks.

- Integrate AI solutions with Java- and C#-based applications and enterprise platforms.

- Deploy and operate AI workloads across AWS, Azure, and GCP, supporting large-scale modernization programs.

- Ensure scalability, security, reliability, and responsible AI practices.

- Collaborate with migration, product, and engineering teams to convert legacy transformation needs into AI-driven accelerators.

All you need is :

AI / GenAI expertise :

- 3+ years of hands-on experience in AI and Generative AI, including LLM-based systems.

- Deep understanding of LLMs, embeddings, transformers, and agentic patterns.

- Experience building Agentic AI systems for multi-step, tool-driven workflows.

- Hands-on experience with model evaluation, fine-tuning, and optimization.

Core experience & SDLC :

- 6+ years of overall software engineering experience, with strong exposure to SDLC, system design, and architecture.

- Proven experience designing and delivering production-grade systems, not just prototypes.

- Strong understanding of enterprise architectures, system integration, and scalability considerations.

Migration, legacy & technical skills :

- Proficiency in Python, with working knowledge of Java and/or C#.

- Experience supporting or delivering application, code, or platform migration initiatives.

- Understanding of legacy systems and technologies (e.g., COBOL, JCL, batch processing) or strong experience in legacy modernization programs.

- Experience deploying AI solutions on AWS, Azure, and/or GCP.

- Ability to take AI-driven migration POCs to production-grade solutions.

- Strong analytical, communication, and problem-solving skills.

Preferred qualifications :

- Experience with code analysis, refactoring, or translation tools.

- Familiarity with RAG architectures and vector databases for code and documentation retrieval.

- Experience with LLMOps / MLOps in large-scale transformation programs.

- Exposure to enterprise-scale modernization or platform engineering.

Nice to have :

- Hands-on experience with legacy codebases (mainframe, batch systems, procedural languages).

- Experience with multi-modal AI (text, code, diagrams).

- Knowledge of responsible AI, governance, and security in regulated environments.

- Contributions to migration accelerators, internal tools, or open-source projects.