Lead Software Engineer - Python with Gen AI Job at Wells Fargo (Bengaluru)

Staff Software Engineer – Gen AI

If you’re looking to be part of a GenAI start-up, working with some of the brigh...

Location

United Arab Emirates , Dubai

Salary:

40000.00 - 70000.00 AED / Month

Orbis Consultants

Expiration Date

Until further notice

Requirements

5+ years of experience as an engineer – ideally with exposure to various technologies such as Python, Java, Typescript, React etc.
Compsci background – strong data structures and algorithms
Experience working in a high performing engineering culture or founding experience
Some experience or interest with AI – LLMs, RAG etc.

Job Responsibility

Build high-quality, production-ready code for enterprise customers tackling complex AI problems
Lead the design and building of AI-driven systems with emerging technologies
Work in a tight-knit collaborative squad, interfacing closely with the customer to craft elegant solutions

What we offer

significant equity
unlimited PTO
full medical/dental/vision

Fulltime

Staff Software Engineer – Gen AI

If you’re looking to be part of a GenAI start-up, working with some of the brigh...

Location

United Arab Emirates , Dubai

Salary:

40000.00 - 80000.00 AED / Month

Orbis Consultants

Expiration Date

Until further notice

Requirements

5+ years of experience as an engineer – ideally with exposure to various technologies such as Python, Java, Typescript, React etc.
Compsci background – strong data structures and algorithms
Experience working in a high performing engineering culture or founding experience
Some experience or interest with AI – LLMs, RAG etc.

Job Responsibility

Build high-quality, production-ready code for enterprise customers tackling complex AI problems
Lead the design and building of AI-driven systems with emerging technologies
Work in a tight-knit collaborative squad, interfacing closely with the customer to craft elegant solutions

What we offer

significant equity
unlimited PTO
full medical/dental/vision

Fulltime

Applied AI Engineer - AI Solutions

As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI a...

Location

United States , Redwood City; San Francisco

Salary:

172000.00 - 300000.00 USD / Year

Snorkel AI

Expiration Date

Until further notice

Requirements

B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience
3+ years of customer-facing experience in the design and implementation of AI/ML solutions
Proficiency in Python, including strong grounding in software engineering fundamentals (e.g., modular design, testing, profiling, packaging) and experience with modern Python constructs and libraries for type validation and typed data modeling (e.g., pydantic), building type-safe systems (e.g., mypy), testing (e.g., pytest), packaging and environment configuration (e.g., poetry), API and service frameworks (e.g., FastAPI), serialization and structured data handling (e.g., msgspec), and orchestration tooling relevant to ML deployment (e.g., Ray, Airflow)
Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding tooling (e.g., FAISS), data processing frameworks (e.g., pandas, Spark), retrieval/RAG tooling (e.g., Chroma, Weaviate), synthetic dataset curation, evaluation workflows, and LLM orchestration, workflow, agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI)
Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement
Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
Ability to work in a fast-paced environment and balance priorities across multiple projects at once

Job Responsibility

Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform
Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows
Create augmented real-world datasets and comprehensive evaluation workflows to ensure model reliability, transparency, and stakeholder trust. A data- and evaluation-first mindset is essential for success in this role
Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow
Collaborate closely with pre-sales Solutions and Product teams to map customer needs to existing capabilities, prioritize roadmap gaps, and guide successful project setup
Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices
Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI
Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams
Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI
Annual travel up to 25%

What we offer

equity in the form of employee stock options

Fulltime

Applied AI Engineer

Research and utilize state-of-the-art Gen AI and machine learning (ML) technique...

Location

United States , Washington, D.C.

Salary:

160000.00 - 250000.00 USD / Year

Snorkel AI

Expiration Date

Until further notice

Requirements

B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience
3+ years of customer-facing experience in the design and implementation of AI/ML solutions
Proficiency in Python, including strong grounding in software engineering fundamentals
Expertise across the Applied AI stack, spanning classical ML libraries, deep learning frameworks, foundation-model ecosystems, vector/embedding tooling, data processing frameworks, retrieval/RAG tooling, synthetic dataset curation, evaluation workflows, and LLM orchestration
Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders
Outstanding presentation skills to technical and executive audiences
Ability to work in a fast-paced environment and balance priorities across multiple projects at once
Experience reviewing and drafting responses to federal Requests for Comment (RFCs), Requests for Information (RFIs), Requests for Proposals (RFPs), etc. is preferred
Experience working across the Civilian, DOD and NATSEC agencies, inclusive of experience in Federal Law Enforcement, Healthcare, Financial/Regulatory and Military operations and logistics
Candidates must have an active TS/SCI

Job Responsibility

Partner with customers to build and deploy impactful Gen AI and machine learning solutions
Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows
Create augmented real-world datasets and comprehensive evaluation workflows
Forge and manage relationships with our customers’ leadership and stakeholders
Collaborate closely with pre-sales Solutions and Product teams
Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices
Lead stakeholder education on quantitative capabilities
Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams
Conduct one-to-few and one-to-many enablement workshops
Work on all aspects of complex National Security problems

What we offer

Equity in the form of employee stock options

Fulltime

Principal Product Manager, Gen AI Developer Tools

Anaconda is seeking a talented Principal Product Manager, GenAI Developer Tools ...

Location

United States

Salary:

162500.00 - 282000.00 USD / Year

Anaconda

Expiration Date

July 01, 2026

Requirements

7+ years of product management experience
at least 3 years focused on developer tools, infrastructure, or platform products
deep, hands-on experience with AI coding tools (Cursor, GitHub Copilot, Claude, etc.)
proven expertise in MCP (Model Context Protocol) development, A2A protocol, agentic systems, or similar AI-to-application integration technologies
ability to work closely with engineering teams on API design, system architecture, and implementation trade-offs
experience building and managing strategic technology partnerships, particularly with developer tool companies
track record of driving product adoption in developer communities
excellent written and verbal communication skills
deep understanding of Python ecosystem, package management, and enterprise software development workflows
Bachelor's degree in Computer Science, Engineering, or related field

Job Responsibility

Lead product strategy and roadmap for Anaconda's Agentic Environment & Package Management initiatives, including MCP (Model Context Protocol) server development and AI tool integrations
conduct strategic research with enterprise customers, AI tool vendors, and the open-source community
drive the development and launch of tools and agents that improve the quality of Python vibe-coding
support strategic partnerships with top AI-enabled IDEs (Cursor, VS Code, Windsurf, etc.)
define and execute on integration strategies that make Anaconda indispensable to AI coding workflows
collaborate with engineering teams to build robust APIs, SDKs, and developer tools
work closely with our enterprise customers in regulated industries (finance, healthcare, government) to ensure our AI infrastructure meets their security and compliance requirements
partner with marketing and developer relations to drive adoption among the 50+ million Python developers globally
measure and optimize key metrics including developer adoption, enterprise package downloads, and AI tool integration usage
represent Anaconda at industry conferences, with partners, and in the broader AI/ML community

What we offer

Flexible Vacation Policy
Medical, Dental, and Vision Insurance
Short Term and Long Term Disability
Paid Parental Leave
Monthly Wellness Stipend
Employee Assistance Program and Mental Health Resources
annual bonus potential
equity participation

Fulltime

Senior Software Developer

Senior Software Developer role at Hewlett Packard Enterprise focused on AI and m...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline
Typically 4-7 years' experience
Deep understanding of machine learning algorithms (linear regression, decision trees, support vector machines, random forests, deep learning models, reinforcement learning)
Strong foundation in mathematics and statistics (linear algebra, calculus, probability theory)
Proficiency in programming languages such as Python, R, or Java
Experience with software engineering best practices and version control systems (Git)
Knowledge of libraries and frameworks like TensorFlow, PyTorch, sci-kit, Keras
Advanced knowledge in deep learning and neural network architectures
Proficiency in using agentic frameworks like langGraph
Knowledge of evaluation of traditional AI/ML and Gen-AI based applications

Job Responsibility

Conduct advanced research in AI and machine learning
Design and architect AI solutions for complex problems
Provide technical guidance and mentorship to junior team members
Work with stakeholders to translate requirements into technical solutions
Drive continuous improvement and innovation in AI/ML practices
Evaluate and integrate third-party tools or services
Facilitate design review sessions
Collaborate with engineering manager and team lead
Prepare and deliver presentations to stakeholders
Design and develop solutions to complex application problems

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive benefits suite supporting physical, financial and emotional wellbeing

Fulltime

Gen AI Engineering and Scaled AI Transformation

Location

Canada , Mississauga

Salary:

145100.00 - 217700.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

10+ years of progressive experience in software engineering, ML, or AI platforms, with 5+ years leading senior engineers and architects
3+ years of hands‑on experience deploying LLM‑based systems in production environments at enterprise scale
Demonstrated authority across commercial and open‑source LLM ecosystems (e.g., OpenAI, Anthropic, Google, Llama), including model selection, fine‑tuning, and hosting strategies
Proven ability to define enterprise-wide GenAI standards, reference architectures, and reusable accelerators
Demonstrated leadership in establishing prompt engineering standards and orchestration patterns
Experience optimizing latency, throughput, accuracy, and token cost across large‑scale GenAI workloads
Bachelor’s degree/University degree or equivalent experience
Master’s degree preferred

Job Responsibility

Acts as a senior technical authority on Large Language Models, including both commercial and open‑source ecosystems (OpenAI, Gemini, Claude, Llama)
Leads model selection and deployment strategy, balancing use‑case fit, data sensitivity, cost efficiency, latency, accuracy, and regulatory constraints
Guides decisions on hosted vs. private vs. fine‑tuned models, ensuring optimal trade‑offs between performance, control, and operational risk
Establishes enterprise standards for LLM lifecycle management, including upgrades, regression validation, and decommissioning
Demonstrates hands‑on leadership in building GenAI applications using LangChain, LangGraph, LlamaIndex, and Hugging Face, translating experimentation into production systems
Architects agentic and multi‑step workflows, enabling tool‑use, reasoning chains, state management, and orchestration at enterprise scale
Sets reusable reference patterns and accelerators for GenAI adoption across application teams
Ensures solutions are built with enterprise-grade reliability, explainability, and extensibility
Designs and delivers robust RAG architectures that ground GenAI outputs in trusted, auditable enterprise data
Leads implementation of vector databases and embedding strategies (pgvector, Pinecone, Weaviate, FAISS), aligned with data access and security models

Fulltime

Engineering Manager: Applied (Gen) AI - Payments

The Applied Gen(AI) team is a pioneering unit within Adyen’s Payments department...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adyen

Expiration Date

Until further notice

Requirements

2+ years of experience leading engineering teams
5+ years of hands-on experience in Software Engineering and AI development
Strong foundation in core Software Engineering (e.g. Java or Python)
Experience with deploying (Gen)AI/Machine Learning in production

Job Responsibility

Impact-Driven Leadership: Drive the team autonomously toward success by focusing on measurable business and organizational outcomes that reduce operational friction
Strategic Stakeholder Management: Effectively "manage up" and exercise influence across the organization to align AI initiatives with Adyen’s overarching vision
Formula Fit Execution: Champion the "Adyen Formula" by launching products fast and iterating based on real-world feedback to ensure constant value delivery
Product Discipline: Partner with product peers to lead prioritization and roadmapping, pragmatically balancing technical debt with the delivery of innovative AI features
People Management: Act as a dedicated mentor and coach to grow engineering talent. This role involves growing the team (hiring and headcount planning) and focusing on the development of the current team
Technical Guidance: Provide architectural direction for AI and software engineering projects, ensuring solutions are scalable, reliable, and secure. We expect a player-coach mindset, where you balance people management, strategy, architecture and hands-on work
Team Environment: Cultivate a culture of ownership, autonomy, and open communication where constructive feedback is the norm

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Lead Software Engineer - Python with Gen AI

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