Generative AI Engineer

Hiring: Gen AI Lead (LLM/Agentic AI & Python) Expereince Level- Minimum 12 Years Contract Role on C2C & W2 Visa - Visa Independent Profiles Location: Dallas, TX (Hybrid) We are looking for a highly experienced Gen AI Lead with deep expertise across Generative AI, Agentic AI, Machine Learning, MLOps, LLMs, data engineering, and AI solution delivery. This senior role requires 15+ years of hands-on technical leadership and proven experience designing and deploying AI/ML systems at scale. 🔹 Role Overview This position will lead the end-to-end development of enterprise-grade AI/ML and Generative AI solutions, integrating modern ML frameworks, LLMs, vector databases, cloud platforms, and MLOps practices. You will develop advanced AI applications, optimize models, build data pipelines, and collaborate cross-functionally on strategic AI initiatives. 🔹 Mandatory Skills • Gen AI / Agentic AI / ML expertise • Strong background in LLMs, Prompt Engineering, RAG, Vector DBs, Agentic Frameworks, Conversational AI • Deep experience in Python, ML frameworks, cloud ML services, and data engineering pipelines 🔹 Technical Skills (Must Have) AI/ML & Analytical Skills • Full ML lifecycle: data prep, visualization, statistical analysis, feature engineering, predictive modeling, deployment & monitoring • Generative AI, LLMs, Causal Inference, Time Series, Forecasting, Anomaly Detection • A/B testing, Hypothesis testing • Dashboarding: Tableau, Power BI, ThoughtSpot Data Engineering • SQL, MySQL, Postgres, Spark, S3, Trino, Data Factory, ETL pipelines, Databricks • Distributed computing Programming • SQL, PySpark, Scala, R, Python, SAS Gen AI & Agentic Skills • Prompt Engineering, RAG, Vector Databases • Agentic Frameworks, MCP • LangChain, LangGraph • LLM Tuning, Chatbots, Explainable AI, HuggingFace Tools & Frameworks • Git, TensorFlow, PyTorch, PySpark, MLflow • AWS, Azure, GCP, Docker, Kubernetes • FastAPI, Flask, Django, OpenCV, YOLO • Pandas, NumPy, SciPy, Polars, Matplotlib, Seaborn, Plotly, Streamlit Cloud/MLOps • AWS Sagemaker, Azure ML, GCP AI Platform • CI/CD, Docker, GitOps 🔹 Role Responsibilities • Design, develop & deploy enterprise AI/ML and GenAI models • Build scalable training, inference & data pipelines • Develop web-based AI applications (FastAPI, Flask, Django) • Build LLM solutions: chatbots, summarization, RAG systems • Lead PoCs and automation initiatives • Perform model evaluation, tuning & optimization • Integrate APIs and cloud ML services • Implement MLOps best practices for CI/CD and model versioning • Create documentation, training content & demos 🔹 Domain Expertise (Highly Preferred) • 10+ years in AI/ML development for Telecom or Retail domains • Strong knowledge of Telecom BSS/OSS, IoT, fixed/mobile networks • Experience with BSS systems: Sales, Marketing, Finance, Product, Care • Knowledge of Telecom data models & COTS platforms (Amdocs, NetCracker, CSG, etc.) 🔹 Preferred Qualifications • Certifications in AI/ML, Deep Learning, or Generative AI Wishing you a wonderful day ahead! Sincerely, Kuldeep Choudhary Kuldeep.c@e-solutionsinc.com 2N Market St, Suite # 400, San Jose, CA- 95113 LinkedIn www.e-solutionsinc.com USA | CANADA | UK | SINGAPORE | MALAYSIA | INDIA “Disclaimer: E-Solutions Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. We especially invite women, minorities, veterans, and individuals with disabilities to apply. EEO/AA/M/F/Vet/Disability.