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Gen ai developer

Virtusa
Ai developer
Posted: 3 April
Offer description

Job Description
Description
Job Description
We are seeking a highly skilled professional with
6–10 years of experience
in application development or systems analysis, with a strong focus on
AI/ML and Generative AI technologies
.
Core AI/ML Expertise
Strong foundational knowledge in
Generative AI, Machine Learning, Data Science, and Statistics
Solid understanding of
AI fundamentals
, including
Natural Language Processing (NLP), Neural Networks, and Large Language Models (LLMs)
Generative AI & LLM Capabilities
Hands-on experience with leading LLMs such as
Google Gemini, OpenAI models, Anthropic Claude, Mistral, Llama
, and other open-source models
Deep expertise in designing and implementing
Retrieval-Augmented Generation (RAG) pipelines
, including advanced RAG techniques
Proven ability to build, fine-tune, and deploy
LLM-based applications
using platforms like
Vertex AI and Hugging Face
Strong experience in
prompt engineering
, prompt tuning, and creating reusable prompt frameworks
Experience implementing
agentic AI frameworks
for real-world use cases
Knowledge of
AI guardrails
, evaluation techniques, and performance/safety monitoring
Strong programming skills in
Python
, with hands-on experience in libraries such as
Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Transformers, FastAPI, Seaborn, LangChain, and LlamaIndex
Experience integrating Generative AI solutions into
enterprise systems
using APIs, orchestration tools, and knowledge graphs
Hands-on experience with
vector databases
such as
PGVector, Pinecone, MongoDB Atlas, and Neo4j
Experience working with
large-scale unstructured data
and designing high-throughput data processing solutions
Deployment & MLOps
Proven experience deploying
GenAI/ML models into production environments
Strong understanding of
MLOps practices
, including model evaluation, monitoring, and lifecycle management
Experience with
CI/CD pipelines
and tools such as
Jenkins, GitLab CI, Azure DevOps, or ArgoCD
Experience with
containerization and orchestration platforms
such as
Docker, Kubernetes, or OpenShift
Strong exposure to
cloud-native environments
and scalable architecture design
Soft Skills
Excellent
problem-solving and analytical abilities
Strong
communication and collaboration skills
for working with cross-functional teams
Ability to work independently and manage
complex, ambiguous challenges
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