3 months ago
Gurgaon, IndiaStaff+
Responsibilities
- Own end-to-end delivery of GenAI services and agentic workflows, including building, testing, integration, deployment, release, versioning, rollback, and production operation.
- Design and maintain Python-based services and workflows integrating LLMs and GenAI capabilities with client systems.
- Build multi-step agentic workflows using orchestration frameworks such as LangGraph, AgentCore, and LangChain.
- Develop agent tooling and APIs with defined schemas, error contracts, versioning, and observability hooks.
- Implement retrieval and RAG capabilities, including tuning top-k, scoring, and filtering parameters.
- Monitor, troubleshoot, and improve workflow health, reliability, and operational performance.
- Set up tracing, logging, metrics, evaluation, regression, and safety checks using LLM observability and evaluation tooling.
- Follow platform, security, governance, RBAC, data-access, PII, logging, and audit requirements.
- Collaborate with clients, product managers, business stakeholders, UX, engineers, and architects on production-ready solutions.
- Participate in design reviews, code reviews, and architecture discussions.
- Guide junior engineers and consultants through code review and pairing.
- Create internal playbooks, examples, reusable patterns, and enablement materials.
- Support pre-sales activities including project scoping, estimation, and solution design.
Requirements
- Bachelor’s or master’s degree in computer science, Statistics, Mathematics, or a related quantitative field.
- At least 5 years of experience in a data science-related role focused on machine learning and deep learning.
- Strong Python coding skills for efficient, scalable, and maintainable software.
- Experience developing and training custom deep learning models with TensorFlow, PyTorch, or scikit-learn.
- Hands-on experience with Jupyter Notebooks, Azure Machine Learning Studio, Azure OpenAI, AWS SageMaker, NVIDIA AI Enterprise, and DGX platforms.
- Experience with major model providers and open-source models such as Llama, Anthropic Claude, and OpenAI.
- Understanding of transformer architectures, attention mechanisms, and advanced deep learning concepts.
- Knowledge of generative AI, fine-tuning, transfer learning, and RAG methods.
- Experience across the machine learning lifecycle, including deployment, monitoring, drift detection, retraining, and canary testing.
- Strong communication and collaboration skills for presenting technical information to technical and non-technical audiences.
- Experience with pre-sales activities, project scoping, estimation, and solution design.
Benefits
- Comprehensive health insurance in India, with options to extend coverage to dependents.
- Paid time off, company holidays, and additional leave benefits according to policy.
- Flexible work arrangements supporting work-life balance.
- Learning and development opportunities, including sponsored certifications and credentials.
- Employee wellness initiatives focused on physical and mental well-being.
- Retirement and statutory benefits in line with India regulations.
- Inclusive, people-first culture emphasizing collaboration, ownership, and diversity.
About AHEAD
AHEAD is an IT services and consulting firm that designs, builds, and operates digital platforms for large enterprises across cloud infrastructure, automation, data and analytics, security, and DevOps. It generates revenue through consulting, systems integration, and managed services, including cloud management and operations. Founded in 2007 and headquartered in Chicago, it is privately held and owned by Centerbridge Partners.