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Generative AI/LLM Engineer

30+ days ago 2026/09/04
Other Business Support Services
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Job description

Job Summary

Synechron is hiring a Generative AI / LLM Engineer to drive the design and implementation of advanced AI solutions. This role involves building and deploying Large Language Models (LLMs) and agentic AI systems within scalable enterprise environments.


The ideal candidate will contribute to AI-led digital transformation by developing high-performance models and integrating them with business applications, primarily leveraging Google Cloud Platform (GCP).


Key Responsibilities
  • Design, develop, fine-tune, and deploy LLMs and Generative AI models
  • Build and implement RAG (Retrieval-Augmented Generation) pipelines
  • Develop scalable APIs and microservices for AI model consumption
  • Optimize models for performance, scalability, latency, and cost efficiency
  • Build reusable ML pipelines, feature engineering frameworks, and data workflows
  • Collaborate with cross-functional teams (Data Engineering, Product, Cloud, and Application teams)
  • Evaluate emerging AI technologies and recommend adoption strategies
  • Ensure adherence to security, compliance, and data privacy standards
  • Provide technical mentorship and guidance to junior team members
Required Skills & Technologies

Programming


  • Python (3.8+) – Expert
  • Java – Proficient (Good to have)

Databases


  • SQL (BigQuery preferred)
  • NoSQL databases

AI/ML & Frameworks


  • TensorFlow, PyTorch, Keras
  • Experience with LLMs, Generative AI, and RAG architectures

Cloud & MLOps


  • Google Cloud Platform (BigQuery, Vertex AI)
  • MLFlow, model tracking, and model registry
  • Model performance monitoring and optimization

Development Tools


  • Git (Version Control)
  • FastAPI / Flask (API development)

Preferred Skills


  • Docker & Kubernetes (containerization & orchestration)
  • CI/CD pipelines for ML workflows
  • Vector databases: FAISS, Pinecone, Chroma
Experience Requirements
  • 6+ years of experience in ML model development and deployment
  • Minimum 1 year of hands-on experience with LLMs / Generative AI
  • Proven experience in implementing RAG pipelines in production
  • Strong experience with GCP (BigQuery, Vertex AI)
  • Experience integrating AI models into enterprise-grade systems
  • Exposure to Agile development methodologies
Qualifications
  • Bachelor’s / Master’s degree in computer science, AI/ML, Data Science, or related field
  • GCP or AI/ML certifications (preferred)
Professional Competencies
  • Strong analytical and problem-solving skills with a focus on complex AI systems.
  • Effective communication skills to articulate technical concepts to diverse stakeholders.
  • Leadership qualities, including ownership and initiative.
  • Adaptability to rapidly evolving AI trends and technologies.
  • Capable of managing multiple experiments, models, and project deadlines.
  • Innovation-oriented with a focus on scalable, sustainable AI solutions.

S​YNECHRON’S DIVERSITY & INCLUSION STATEMENT
 


Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is 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.


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