Python AI Engineering Lead Job at Britenet sp. z o. o. (Białystok)

Python Engineering AI Lead-Assistant Vice President

We are seeking a highly motivated and experienced Principal Engineer to join our...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

8+ years of overall experience in large-scale application development with recent mandatory platform for the secure and scalable deployment of AI agents into application contexts
Minimum of 5+ years of proven experience in a Python and pyspark Engineering lead role focused on building enterprise-grade, high-volume ELT/ETL processes using the PySpark and Databricks ecosystem
Hands-on experience with agentic AI development using YAML, JSON, FAST API or Spring boot, Google ADK, LLM itegrations, including Devin.AI or Github Copilot, and integrating models via platforms like MCP using advanced prompt engineering
Proven experience developing and automating microservice integrations to support data-intensive applications
Proficiency in at least one programming language commonly used for data analytics, engineering, such as Python or Scala
Strong SQL skills and experience with various relational databases
Deep understanding of data modeling, data warehousing concepts, Data Mesh architecture, and data federation
Excellent communication, collaboration, and problem-solving skills

Job Responsibility

Design, develop, and maintain scalable, enterprise-grade AI agents, supporting ELT/ETL processes to handle large data volumes using the Python, FAST API, Microservices, PySpark, Kafka and Databricks ecosystem
Build and Deploy GEN AI Agents using Googles ADK and Google Flash 2.5+ LLMs to support application automation supports and its deep insights, workflow support with HIL - Human in loop architecture
Build and maintain data federation layers for lambda and Data Mesh architectures using tools like Starburst, with a strategy for adopting AI-based use cases (e.g., machine learning, deep learning, NLP) to drive efficiency
Develop, deploy, and automate microservice integrations to support data-intensive applications, ensuring scalability, resilience, and maintainability using cloud native infrastructure and openshift or Kubernates architecture including CI/CD pipelines
Integrate and leverage agentic AI tools (e.g., Devin.AI, Github Copilot) and platforms (e.g., MCP) through advanced prompt engineering to enhance development and operational efficiency
Ensure data quality, integrity, and security throughout the entire data lifecycle
Contribute to the continuous improvement of data engineering processes, standards, and best practices within the team
Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citi, its clients, and assets by driving compliance with applicable laws, rules, and regulations
Adhere to Policy, apply sound ethical judgment, and escalate, manage, and report control issues with transparency

Fulltime

Engineering Lead, AI Application Engineering

Ema is on a mission to redefine the future of work by building a Universal AI Em...

Location

India , Bengaluru

Salary:

Not provided

Ema

Expiration Date

Until further notice

Requirements

8+ years in software/solutions architecture, including 3+ years with LLM or event-driven systems
Expert in Python, REST/JSON APIs, and cloud infrastructure (GCP, AWS, or Azure)
Proven record deploying AI systems in enterprise environments
Familiarity with agent frameworks like LangChain, Semantic Kernel, or similar
Experience integrating SaaS platforms like CRM, ATS, ERP
Strong understanding of RBAC, SSO (Okta/AD), and security standards
Outstanding communication and executive presence in high-stakes environments

Job Responsibility

Workflow Discovery & Solution Design: Lead discovery workshops to understand human workflows, pain points, data flows, and integration needs. Translate business objectives into AI architecture blueprints covering integration, data, security, and success metrics. Author and maintain “AI-Employee” design documents to guide implementation from blueprint to SLOs
Data Integration & Action Building: Use declarative connectors and APIs to ingest, normalize, and secure data from enterprise systems (CRM, ERP, ATS, etc.). Build and maintain reusable action blocks using REST/SOAP/RPA and integrate them into agent-based workflows
Agentic Reasoning & Prompt Engineering: Design and compose reasoning agents using modern frameworks (e.g., LangChain, Semantic Kernel). Tune prompts, set up memory management, and define mesh topologies to ensure robust agentic reasoning. Own prompt evaluation, experiment design (A/A, A/B), and rollback strategies
Human-AI Interaction: Define and implement user interaction flows by integrating with Slack, Microsoft Teams, widgets, or customer-facing apps. Ensure seamless handoff between automated and human-in-the-loop experiences
Monitoring, Metrics & Observability: Define success metrics, KPIs, and SLOs
wire them into dashboards, alerts, and observability systems. Steward observability packs, including Terraform/Helm configurations and alerting strategies
Security, Identity & Permissions: Enforce zero-trust identity patterns including SSO (Okta/AD) and RBAC. Own auditing, access control, and compliance posture across deployments
Collaboration & Continuous Improvement: Lead technical, architectural, and security reviews with internal teams and customer stakeholders. Partner with CVEs and system integrators to unblock issues and ensure deployment success. Monitor production system health and performance, lead continuous-improvement sprints, and codify learnings into reusable playbooks and runbooks. Maintain registries of versioned prompts, connectors, and action templates to support scale and reuse. Channel field insights to Product and ML teams to refine roadmap and platform capabilities

Fulltime

Senior Lead – AI Engineering (LangGraph / Haystack / RAG Systems)

At Codvo.ai, we are building NeIO — an AI-native enterprise platform powering in...

Location

United States

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

8–12 Years
Hugging Face Transformers, spaCy, Haystack, OpenAI APIs
LangGraph, LangChain, retrieval orchestration, context window optimization
Qdrant, FAISS, Pinecone, or Weaviate
FastAPI, RESTful API design, async Python
Pandas, DuckDB, PySpark, Airbyte (preferred)
QGIS, PostGIS, GeoPandas
MLflow, DVC, Docker, Kubernetes
Git, GitHub Actions, CI/CD automation

Job Responsibility

Architect & Lead: Design and oversee RAG pipelines using LangGraph, Haystack, LangChain, and OpenAI APIs for NeIO applications
Mentor & Guide: Manage a team of 3–5 AI engineers
perform code reviews, pair programming, and architecture reviews
Build & Integrate: Develop FastAPI-based microservices and vectorized retrieval layers (Qdrant, FAISS, Pinecone)
Optimize & Scale: Tune embedding quality, latency, and retrieval precision across multi-tenant data lakes
Collaborate with Data & GIS Teams: Integrate structured and spatial data using PostGIS, QGIS, GeoPandas
Implement Governance: Establish model observability, explainability metrics, and audit trails
Drive Delivery: Translate business workflows (e.g., LeaseOps, Recon) into AI automation pipelines with measurable ROI
Evangelize Open Source AI: Advocate for enterprise-grade, open-source-first design principles

What we offer

Build on the NeIO platform, a rapidly evolving enterprise AI stack
Lead real-world agentic AI systems for billion-dollar industries
Collaborate with a global team of AI researchers, domain SMEs, and engineers
Competitive compensation with performance-linked RSUs
Flexible, innovation-driven environment with direct impact on product evolution

Fulltime

Senior Lead – AI Engineering (LangGraph / Haystack / RAG Systems)

As Senior Lead – AI Engineering, you will own the end-to-end architecture, deliv...

Location

India , Pune

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

Hugging Face Transformers, spaCy, Haystack, OpenAI APIs
LangGraph, LangChain, retrieval orchestration, context window optimization
Qdrant, FAISS, Pinecone, or Weaviate
FastAPI, RESTful API design, async Python
Pandas, DuckDB, PySpark, Airbyte (preferred)
QGIS, PostGIS, GeoPandas
MLflow, DVC, Docker, Kubernetes
Git, GitHub Actions, CI/CD automation

Job Responsibility

Architect & Lead: Design and oversee RAG pipelines using LangGraph, Haystack, LangChain, and OpenAI APIs for NeIO applications
Mentor & Guide: Manage a team of 3–5 AI engineers
perform code reviews, pair programming, and architecture reviews
Build & Integrate: Develop FastAPI-based microservices and vectorized retrieval layers (Qdrant, FAISS, Pinecone)
Optimize & Scale: Tune embedding quality, latency, and retrieval precision across multi-tenant data lakes
Collaborate with Data & GIS Teams: Integrate structured and spatial data using PostGIS, QGIS, GeoPandas
Implement Governance: Establish model observability, explainability metrics, and audit trails
Drive Delivery: Translate business workflows (e.g., LeaseOps, Recon) into AI automation pipelines with measurable ROI
Evangelize Open Source AI: Advocate for enterprise-grade, open-source-first design principles.

What we offer

Build on the NeIO platform, a rapidly evolving enterprise AI stack
Lead real-world agentic AI systems for billion-dollar industries
Collaborate with a global team of AI researchers, domain SMEs, and engineers
Competitive compensation with performance-linked RSUs
Flexible, innovation-driven environment with direct impact on product evolution.

Fulltime

Java and Python Engineering Lead

We are seeking a highly experienced and technically Senior Programmer Analyst wi...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

8+ years of relevant experience and advanced level knowledge of Java and Python
Hands-on experience with advanced AI software engineering tools (e.g., Devin.AI, Copilot, Claude) and Agentic AI development
Design and implement advanced RESTful APIs and event-driven architectures for seamless and secure integration across various systems
Experience in systems analysis and programming of software applications
Experience in managing and implementing successful projects
Working knowledge of consulting/project management techniques/methods
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements

Job Responsibility

Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement
Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality
Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems
Ensure essential procedures are followed and help define operating standards and processes
Serve as advisor or coach to new or lower level analysts
Has the ability to operate with a limited level of direct supervision
Can exercise independence of judgement and autonomy
Acts as SME to senior stakeholders and /or other team members

Fulltime

Ai Engineering Lead

At Aden, artificial intelligence is not just a feature; it is the core driver of...

Location

United States , San Francisco

Salary:

250000.00 - 350000.00 USD / Year

Helpcare AI

Expiration Date

Until further notice

Requirements

4+ years of software engineering experience, with at least 2 years dedicated to deploying machine learning models, LLMs, or complex AI systems in production environments
Expert-level proficiency in Python
Deep understanding of ML frameworks (PyTorch, TensorFlow) and LLM orchestration tools (LangChain, LlamaIndex, or proprietary/custom frameworks)
Strong background in distributed systems, vector databases (Pinecone, Weaviate, Milvus), and cloud infrastructure (AWS/GCP)
Solid grasp of transformer architectures, fine-tuning methodologies (LoRA, QLoRA), and prompting strategies for complex reasoning tasks
A relentless focus on security, accuracy, and edge-case handling

Job Responsibility

Model Deployment & Optimization: Design, deploy, and maintain state-of-the-art foundation models and custom-trained AI systems within a high-throughput, low-latency B2B enterprise environment
Agentic Framework Development: Architect and implement robust, multi-agent workflows capable of handling complex operations, from risk assessment and fraud detection to automated reconciliation and dynamic routing
RAG & Data Pipelines: Build and optimize Retrieval-Augmented Generation (RAG) pipelines that ingest, vectorize, and retrieve massive volumes of structured and unstructured data
Evaluation & Alignment: Develop rigorous, automated testing frameworks to evaluate model performance, specifically focusing on hallucination reduction, mathematical accuracy, and strict adherence to compliance standards
Infrastructure Integration: Work closely with backend engineers to integrate AI services seamlessly into our core Rust/Go/Python-based APIs
Continuous Improvement: Stay at the absolute bleeding edge of AI research

What we offer

Competitive salary and substantial equity package
Comprehensive health, dental, and vision insurance
The opportunity to build the underlying architecture for the AI economy from the ground up
Flexible, remote-friendly work culture with regular team offsites

Fulltime

AI Engineering Lead

As AI Engineering Lead, you’ll lead the charge in defining and scaling the intel...

Location

United Kingdom , London

Salary:

Not provided

Tessl

Expiration Date

Until further notice

Requirements

A degree (Masters/PhD preferred) in Computer Science, Artificial Intelligence, Data Science, Applied Mathematics, or related fields
10+ years of engineering experience, with 3+ years leading AI-focused teams
Fluency in some of these areas: Python, Anthropic/OpenAI APIs, vector databases, and eval tooling
Strong fundamentals in Machine Learning, Data Science and Evaluation Frameworks
Experience with agent orchestration, retrieval-augmented generation (RAG), and agentic workflows
Experience developing agentic workflows
Proven experience shipping AI-first products that bridge research and real-world application
Comfort working across the stack or partnering closely with frontend/backend teams

Job Responsibility

Architect and own our AI pipelines — from multi-agent workflows and retrieval pipelines to automatic evaluation and feedback loops
Design scalable context generation systems that synthesize documentation, styleguides, and steering artefacts to enhance agent performance
Optimize retrieval pipelines to achieve the ideal balance of quality, latency, and cost
Build internal tooling for evaluation, context engineering, and inference — the backbone of how we train and measure our agents
Collaborate across teams (PM, UX, product engineering, and leadership) to ship high-impact features at startup speed
Define and scale the team culture — recruiting top talent, mentoring others, and embedding the principles of AI-native engineering into everything we build

What we offer

25 days holiday
health insurance, including dental and vision, which extends to partners and dependents
company-matched pension
commuting stipend for those who live outside London
cycle to work scheme

Fulltime

Equities Quant Platform Engineering Lead – Python

Citi's Equities Technology team is undergoing significant growth and investment,...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Extensive background in delivering production-grade, data-centric applications for quantitative trading and analytics
Demonstrated expertise in the python data engineering stack (Polars, Parquet, FastAPI, Jupyter, Airflow, Streamlit, Ray)
Demonstrated expertise in high-performance data stores and query engines (Starburst, Snowflake)
Demonstrated expertise in real-time streaming analytics technologies (Kafka, Flink)
Demonstrated expertise in cloud container technologies (AWS, Azure, GCP, Docker, Kubernetes)
Proven success in enhancing developer experience that reduces friction in coding, building and deploying APIs and client libraries
Real-world application of generative AI prompt engineering and RAG pipelines
Full-stack HTML5 web development skills

Job Responsibility

Guide the technical direction and implementation of the platform
Championing engineering excellence through hands-on feature creation, rigorous code quality via pull request reviews, and by mentoring junior engineers to establish robust coding standards and guardrails
Architecting scalable, secure re-usable components
Drive the design process, aligning with or challenging existing blueprints, seeking consensus from senior leads and stakeholders
Staying up to date with open-source solutions and latest trends to accelerate business outcomes

What we offer

27 days annual leave (plus bank holidays)
A discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources

Fulltime

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Python AI Engineering Lead

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