AIML

About Company:

Synechron is a global technology consulting firm that helps leading organizations accelerate digital transformation through innovation, expertise, and agility. With more than 16,500 professionals across around 60 offices in over 20 countries, we combine deep industry knowledge with advanced capabilities in AI, cloud, cybersecurity, and data engineering. Our regional teams, supported by strategic delivery centers, provide scalable, cost-efficient solutions tailored to local markets. Through our award-winning Synechron FinLabs accelerators and strategic partnerships with AWS, Microsoft, Databricks, Salesforce, and ServiceNow, we enable clients to innovate fast and lead with confidence. For more information on the company, please visit our website or LinkedIn community.

Diversity, Equity, and Inclusion

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and an affirmative-action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Responsibilities :

• Design and implement end‑to‑end GenAI and LLM‑based solutions using Python and AWS.
• Build intelligent pipelines leveraging AWS Bedrock, Foundation Models, and prompt‑engineering techniques.
• Develop AI agents using frameworks like Agent Core, LangChain, and related orchestration tools.
• Create serverless AI applications using AWS Lambda, API Gateway, and event-driven architectures.
• Integrate LLMs with enterprise systems, APIs, vector databases, and RAG‑based solutions.

Must‑Have Skills

Core AI & Python

• Strong hands‑on experience with Python and AI/ML development.
• Expertise in Generative AI, LLMs, prompt engineering, and RAG pipelines.
• Practical experience with LangChain and agent‑based frameworks (Agent Core or similar).

AWS Cloud

• Experience building AI solutions on AWS using:
• AWS Bedrock (must have)
• AWS Lambda
• API Gateway

Agentic Systems

• Experience designing and deploying AI agents, multi‑step reasoning workflows, and tool‑calling pipelines.

Good‑to‑Have Skills

• Exposure to broader AI frameworks (e.g., PyTorch, TensorFlow).
• Experience with MCP (Model Context Protocol).
• Knowledge of QuickSuite, Deep Research, or similar research‑automation stacks.
• Experience with Hierarchical Agents / Multi‑agent architectures.
• Familiarity with vector databases (FAISS, Pinecone, Weaviate).