Senior Associate - Generative AI Engineering

Generative AI/LLM Engineer with GCP, RAG Expertise

Job Summary

Synechron is seeking a highly skilled Generative AI/LLM Engineer to lead the development and deployment of advanced AI models within our organization. This role is pivotal in driving innovation by integrating cutting-edge AI capabilities, including Large Language Models (LLMs) and agentic AI solutions, into scalable, enterprise-grade systems. The successful candidate will employ their expertise to design, optimize, and deploy AI models that align with Synechron’s strategic goals for digital transformation and AI-driven business solutions, primarily utilizing Google Cloud Platform (GCP). This position offers an opportunity to influence the future of AI technology and deliver impactful solutions across various business domains.

Software Requirements

Required Software and Technologies:

• Python (3.8+) – expert level
• Java – proficient
• SQL and NoSQL databases (including BigQuery)
• Deep learning frameworks: TensorFlow, PyTorch, Keras
• Version Control: Git
• MLOps tools: MLFlow, experiment tracking, model registry
• Cloud Platforms: Google Cloud Platform (BigQuery, Vertex AI)
• API frameworks: FastAPI, Flask

Preferred Software Skills:

• Docker and Kubernetes for containerization and orchestration
• CI/CD pipelines for machine learning workflows
• Vector databases: FAISS, Pinecone, Chroma

Overall Responsibilities

• Lead the design, development, training, fine-tuning, and deployment of Large Language Models (LLMs) and Generative AI models.
• Architect and implement Retrieval-Augmented Generation (RAG) pipelines to enhance response contextuality and accuracy.
• Convert AI models into scalable APIs and microservices for enterprise deployment.
• Optimize AI models to meet requirements for latency, throughput, reliability, and cost efficiency in production environments.
• Develop reusable machine learning code, data pipelines, and feature engineering frameworks to support training and inference.
• Collaborate with data engineers, product managers, cloud architects, and application development teams to ensure seamless integration.
• Conduct research on emerging AI technologies and recommend viable adoption strategies.
• Maintain compliance with data privacy, security, and enterprise standards.
• Provide technical leadership, mentorship, and guidance to junior team members.

Technical Skills (By Category)

Programming Languages:

• Must Have: Python (3.8+) – expert level
• Good to Have: Java – proficient

Databases/Data Management:

• SQL (especially BigQuery)
• NoSQL databases

Cloud Technologies:

• Google Cloud Platform (BigQuery, Vertex AI)
• Cloud-based ML pipeline deployment
• Model monitoring and performance tuning

Frameworks and Libraries:

• TensorFlow, PyTorch, Keras
• MLOps tools like MLFlow

Development Tools and Methodologies:

• Git version control
• Containerization: Docker
• Orchestration: Kubernetes
• API frameworks: FastAPI, Flask

Security and Compliance:

• Adherence to data privacy, security, and compliance standards

Experience Requirements

• Minimum of 6 years of hands-on experience in developing, deploying, and maintaining machine learning models.
• At least 1 year of focused experience with LLMs, Generative AI, or agentic AI solutions.
• Proven success with RAG architecture implementation in production settings.
• Experience with GCP services, especially BigQuery and Vertex AI.
• Demonstrated ability to integrate AI models into enterprise systems and workflows.
• Experience working within Agile project environments.

Day-to-Day Activities

• Designing and implementing AI models and pipelines.
• Fine-tuning and optimizing models for production use.
• Building and deploying scalable APIs and microservices.
• Conducting performance testing, monitoring, and model retraining.
• Collaborating in cross-disciplinary teams for project delivery.
• Participating in research initiatives and technology assessments.
• Mentoring junior staff and sharing best practices.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.
• GCP or AI/ML certifications (e.g., Google Cloud Professional Data Engineer, TensorFlow Developer) preferred.
• Continuous professional development through training, certifications, or conference participation encouraged.

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.

Candidate Application Notice

Experience Level

Senior Level