GenAI & Large Language Model Developer | Cloud-Native AI Solutions | AI Frameworks & Prompt Engineering

Job Summary

Synechron is seeking an experienced Lead GenAI Developer to spearhead the design, development, and deployment of innovative Generative AI solutions. This role involves leading the implementation of large language models (LLMs), developing intelligent workflows, and integrating AI capabilities into business platforms. The ideal candidate will possess deep technical expertise, demonstrate leadership in emerging AI technologies, and collaborate effectively with cross-disciplinary teams to drive organizational innovation and competitive advantage.

Software Requirements

Required:

• Strong hands-on experience with Python for developing AI/ML applications and leveraging frameworks such as TensorFlow or PyTorch.

  
  

• Practical experience with Large Language Models (LLMs), Prompt Engineering, and RAG (Retrieval-Augmented Generation) pipelines.

  
  

• Familiarity with AWS Bedrock, Lambda, API Gateway, and SageMaker for building scalable LLM-based solutions.

  
  

• Knowledge of tools like LangChain, Agent Core, and other frameworks for AI workflows and agent orchestration.

  
  

• Experience integrating AI models with enterprise systems, APIs, and vector databases (FAISS, Pinecone).

  
  

• Proficiency in version control (Git) and containerization (Docker).

  
  

Preferred:

• Experience with cloud deployment platforms such as Azure or GCP.

  
  

• Exposure to other AI frameworks such as Hugging Face Transformers or DeepResearch stacks.

  
  

• Basic familiarity with Terraform or Helm for infrastructure automation.

  
  

• Skills in scripting languages such as Shell or Bash.

  
  

Overall Responsibilities

• Lead the end-to-end development and deployment of Generative AI and LLM-based solutions aligned with business needs.

  
  

• Provide technical leadership, mentorship, and guidance to engineering teams working on AI projects.

  
  

• Evaluate, recommend, and implement new AI tools, frameworks, and platform innovations to enhance capabilities and efficiencies.

  
  

• Collaborate with product owners, architecture teams, and business stakeholders to translate requirements into technical solutions.

  
  

• Design and optimize workflows supporting prompt engineering, model tuning, and data ingestion processes.

  
  

• Ensure AI models and systems are scalable, robust, and aligned with organizational standards and best practices.

  
  

• Stay current with AI research, emerging trends, and industry standards, advocating for innovation within the organization.

  
  

Expected outcomes:
Deliver cutting-edge, scalable, and reliable AI solutions that support business transformation initiatives and competitive differentiation.

Technical Skills (By Category)

Programming Languages:

• Essential: Python (advanced, especially for AI/ML development), optionally JavaScript or TypeScript for API integrations.

  
  

• Preferred: Java, R, or other languages used in AI/ML deployment.

  
  

Frameworks & Libraries:

• Essential: TensorFlow, PyTorch, Hugging Face Transformers, LangChain, and custom API integrations.

  
  

• Preferred: DeepResearch, GPT frameworks, or additional NLP toolkits.

  
  

Cloud Technologies:

• Essential: AWS Bedrock, Lambda, API Gateway, SageMaker, and cloud deployment best practices.

  
  

• Preferred: Azure, GCP, or multi-cloud deployment experience.

  
  

Data & Storage:

• Experience with vector databases such as FAISS, Pinecone, or Weaviate.

  
  

DevOps & Automation Tools:

• Essential: Docker, Git, CI/CD pipelines (e.g., Jenkins, GitHub Actions).

  
  

• Preferred: Terraform, Helm, Kubernetes.

  
  

Security & Data Privacy:

• Knowledge of model versioning, data encryption, and compliance standards associated with AI solutions.

  
  

Experience Requirements

• Minimum of 7+ years of experience in AI/ML development, especially with LLMs and prompt engineering.

  
  

• Demonstrated success leading AI/ML projects from conception to deployment in production environments.

  
  

• Proven experience mentoring and guiding technical teams on AI best practices.

  
  

• Industry experience in finance, healthcare, or enterprise tech sectors is preferred; relevant research or academic projects also acceptable.

  
  

Day-to-Day Activities

• Lead the design, development, and deployment of generative AI models and workflows.

  
  

• Guide and mentor junior engineers and data scientists on AI/ML best practices.

  
  

• Collaborate with stakeholders to translate business needs into scalable AI solutions.

  
  

• Evaluate new AI tools, frameworks, and datasets to expand capabilities.

  
  

• Optimize models, workflows, and infrastructure for performance and scalability.

  
  

• Monitor, troubleshoot, and update deployed models to maintain performance and relevance.

  
  

• Document architecture, workflows, and AI pipeline processes; present findings to technical and non-technical audiences.

  
  

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related disciplines.

  
  

• 7+ years of experience in AI/ML development with specific focus on LLMs and Generative AI.

  
  

• Proven leadership in deploying large-scale AI solutions in enterprise environments.

  
  

• Relevant certifications in cloud platforms, AI, or ML frameworks are a plus.

  
  

• Strong communication skills and ability to work collaboratively across disciplines.

  
  

Professional Competencies

• Critical thinking and innovative problem-solving for complex AI development.

  
  

• Leadership qualities for guiding teams and collaborating with cross-functional stakeholders.

  
  

• Effective communicator for translating technical ideas into actionable insights.

  
  

• Curiosity and adaptability to stay current with AI research and technological advances.

  
  

• Ownership of project deliverables, emphasizing quality, scalability, and ethical AI practices.

  
  

• Time management skills to balance multiple project priorities effectively.

  
  

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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