Technical Team Lead – LLM Systems Job at Balbix (Delhi NCR)

LLM Algorithm Tech Lead – Applied Large Language Model Systems

Plaud is building the next generation intelligence infrastructure and interfaces...

Location

United States , San Francisco

Salary:

230000.00 - 300000.00 USD / Year

Plaud

Expiration Date

Until further notice

Requirements

5–10 years of experience in LLM/NLP/AI
Strong prompt engineering and reasoning design skills
Proven ability to deliver LLM-powered features into production
Experience with RAG and knowledge-enhanced reasoning
Strong architectural thinking and system design skills
Strong communication and leadership capabilities
Knowledge of memory systems or personalization engines
Experience building eval frameworks or safety systems
Experience leading technical teams
Experience in foundational model algorithm design or efficiency optimization

Job Responsibility

Intelligence Architecture Development: Design structured reasoning pipelines, planning flows, chain-of-thought workflows
Build capability primitives such as memory, personalization, proactive insights
Develop modular and reusable intelligence components
Applied LLM Features & Production Integration: Lead the design and deployment of LLM-based product functionality
Ensure output reliability, consistency, safety, and user-centric alignment
Apply prompting, constraints, and reasoning structures to reduce hallucination
Retrieval-Augmented Generation (RAG): Build and optimize multi-hop, multi-source retrieval pipelines
Implement chunking, indexing, reranking, and retrieval evaluation
Ensure RAG improves factuality and reduces error rates
Model Strategy & Inference Optimization: Select appropriate model families based on capability and cost constraints

What we offer

Competitive Compensation: $230K-$300K base salary+performance bonus+Equity
Comprehensive Benefits: Top-tier healthcare for employees and dependents, including dental and vision, and a generous employer subsidy
Retirement Planning: 401(k) plan for full time employees with company matching
Paid Time Off: Unlimited PTO, plus 13 paid holidays
New Parent Leave: 12 weeks of paid time off to spend time with your new family, regardless of gender
Hybrid Office: Minimum of 3x in office per week
Gear: New hires are equipped with their choice of new top-of-the-line laptops and workstation setups
Perks: Best office equipment. Annual offsites. Free office drinks and snacks

Fulltime

Application Development Technical Lead Analyst (Senior Ai/Ml Developer)

The Applications Development Technology Lead Analyst is a senior level position ...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

6-10 years of relevant experience in Apps Development or systems analysis role
Extensive experience system analysis and in programming of software applications
Experience in managing and implementing successful projects
Subject Matter Expert (SME) in at least one area of Applications Development
Ability to adjust priorities quickly as circumstances dictate
Demonstrated leadership and project management skills
Consistently demonstrates clear and concise written and verbal communication
Bachelor's degree/University degree or equivalent experience

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

Fulltime

Technical Lead – AI/ML

Technical Lead – AI/ML to lead the design and delivery of enterprise-grade agent...

Location

United States , Atlanta

Salary:

Not provided

Acuver Consulting

Expiration Date

Until further notice

Requirements

8–12 years in software/AI engineering, including 2+ years leading teams or owning technical delivery as a hands-on lead
Demonstrated domain exposure in commerce/retail, e-commerce, fulfillment, logistics, or supply chain
Track record shipping AI/ML systems to production in enterprise or client-services settings
Strong communication and presence
Proven, hands-on experience designing and shipping enterprise-grade agentic AI systems to production
Deep expertise with agent frameworks (LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI, or equivalent)
Expert LLM integration: function/tool calling, structured outputs, retrieval-augmented generation (RAG), agent memory, and knowledge retrieval
Production hardening of agentic systems: agent evaluation and regression testing, guardrails and safety, observability/tracing, prompt and context management, and cost/latency optimization
Model Context Protocol (MCP): designing and deploying MCP servers for tool and resource integration
Human-in-the-loop and approval workflows for high-stakes autonomous actions in enterprise environments

Job Responsibility

Own end-to-end technical design and delivery of enterprise-grade agentic AI systems — from architecture through production, reliability, and handover
Lead a small engineering pod: set technical direction, run design and code reviews, mentor engineers, and remain hands-on writing production code yourself
Translate ambiguous business problems in commerce, fulfillment, and supply chain into well-scoped agentic workflows with clear success metrics and guardrails
Architect multi-agent pipelines with tool/function calling, retrieval (RAG), memory, orchestration, evaluation, and human-in-the-loop controls
Establish engineering standards for agent evaluation, observability, safety, cost, and latency, and drive them across the pod
Partner directly with client stakeholders and SMEs — leading discovery, shaping solution architecture, and presenting trade-offs to technical and executive audiences
Build and deploy Model Context Protocol (MCP) servers and reusable tools/integrations that let agents act safely across enterprise systems (OMS, WMS, CRM, data and commerce platforms)
Make pragmatic build-vs-buy and framework decisions and collaborate cross-functionally on requirements, sprint planning, and delivery
Lead the optimization phase: design optimization-based decisioning for inventory planning and warehouse slotting, integrating solvers and forecasts into agentic workflows

Fulltime

Platform Technical Lead

Leads the technical direction for VP&C digital platforms, ensuring scalable, sec...

Location

Luxembourg , Luxembourg

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Bachelor's degree in Engineering, Computer Science, Information Systems or equivalent professional experience
8+ years relevant experience in software engineering, technical architecture, or platform leadership roles
Demonstrable experience delivering enterprise scale digital solutions with significant integration complexity
Strong hands on background in modern cloud (Azure, AWS or GCP), CI/CD observability and platform operations
Production experience integrating LLM-based agents or GenAI capabilities into enterprise workflows
Pega, Camunda, Appian or equivalent BPM / low-code experience
Procurement, supply chain or source-to-pay domain familiarity
Certifications in Cloud (Azure / AWS / GCP), Architecture (TOGAF) or Agile
Platform engineering at enterprise scale: proven track record leading the engineering of complex multi-stakeholder platforms, ideally with workflow engines, an integration backbone and substantial third-party delivery
Agent and LLM integration: first-hand experience integrating LLM-based agents (RAG, tool-use, evaluation, observability) into production systems, including the design choices that determine cost, latency, accuracy and governance

Job Responsibility

Leads the technical direction for VP&C digital platforms, ensuring scalable, secure, and well-integrated solutions across workflows, AI, cloud, and enterprise systems
Acts as the main technical authority for platform and integration decisions, driving consistency and quality, and leading the evolution of AVA into a robust, enterprise-grade procurement platform
Act as the technical authority for assigned digital platforms (including AVA), owning key engineering and design decisions across workflows, integrations, data flows, AI components, and cloud services
Hold accountability for build vs. buy vs. integrate decisions, balancing speed, cost, risk, sustainability, and partner dependency
Define and enforce technical principles, design patterns, coding standards, and architectural guardrails for both in-house teams and delivery partners
Design and steward end-to-end technical solutions covering application architecture, integration layers, data flows, identity, security, and environments
Own integration design with internal enterprise systems (finance, ERP, identity, data platforms) and the external partner ecosystem using APIs, events, iPaaS, or batch mechanisms
Ensure all integration and architecture choices align with Vodafone Group cloud strategy, security posture, and enterprise architecture standards
Provide clear technical direction during backlog refinement, sprint planning, and delivery execution
Review, validate, and challenge technical designs and implementations from internal teams and external partners to ensure robustness at VP&C scale

What we offer

Annual Discretionary Bonus
Generous Annual Leave: 28 days of annual leave, with the option to buy an additional 5 days and the opportunity to carry over 5 days per year
1 additional day (Family Day) for personal milestones or special occasions
11 public holidays to enjoy time with family and friends
5 charity days per year to give back to the community
Flexible Work Arrangements
20 days to work from abroad, allowing you to combine work with travel and new experiences
Lunch vouchers to support your midday meals
Access to private AXA health insurance and a robust pension scheme to secure your health and future
Access to Vodafone University and online training resources to help you grow your skills and advance your career

Fulltime

Senior Technical Lead (Java + ReactJs & AI)

We are seeking a backend engineering professional with strong experience in Java...

Location

Egypt , Cairo

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Experienced in backend development using Java, Spring Boot, and microservices
Confident in REST API design, API lifecycle management, and integration patterns
Familiar with AI and conversational platforms, including IBM Watson / watsonx and Microsoft Composer
Knowledgeable in IVR and telephony fundamentals within enterprise environments
Comfortable working with LLM-based systems, including RAG pipelines and agent-based architectures
Experienced in engineering practices such as CI/CD, test automation, and release management
Able to collaborate effectively with cross-functional teams, including frontend and AI engineering colleagues
Curious and adaptable, with interest in emerging areas such as real-time audio, multimodal input, and unified memory architectures

Job Responsibility

Design, develop, and maintain backend services using Java, Spring Boot, and microservices architecture
Build and manage REST APIs, applying backend-for-frontend (BFF) patterns where appropriate
Integrate AI platforms such as IBM Watson / watsonx and Microsoft Composer into enterprise-grade solutions
Support IVR and telephony integrations, ensuring reliable conversational flows across voice and digital channels
Implement LLM integration patterns, including prompt engineering, retrieval-augmented generation (RAG), and tool calling
Contribute to agent orchestration and conversational logic across distributed services
Apply observability best practices using OpenTelemetry to monitor and improve system performance
Collaborate closely with frontend teams using React and web component architectures
Embed CI/CD practices, automated testing, and structured release strategies into AI product delivery

What we offer

Exposure to large-scale, real-world AI and conversational platforms
Opportunities to work on enterprise-grade microservices within a global organisation
Collaboration with diverse, international teams across technology and transformation domains
A supportive environment that values learning, inclusion, and sustainable growth

Fulltime

Voice Ai Technical Lead

Whitehall Resources are looking for a Voice AI Technical Lead. This role is hybr...

Location

United Kingdom , Windsor

Salary:

Not provided

Whitehall Resources Ltd

Expiration Date

Until further notice

Requirements

15 years of domain experience and 5-6 years Voice AI / IVA / voice
Proven track record of delivering Voice AI / IVA / voice bot solutions into production at meaningful scale – not PoCs or demos, but real services handling real customer calls
Strong hands-on technical background, comfortable reviewing architectures, reading code, challenging latency budgets and prototyping when needed
Direct experience with LLM-based voice platforms such as Amazon Nova Sonic, ElevenLabs, OpenAI Realtime, Google Gemini Live or equivalents, and a clear view on the tradeoffs between them
Experience integrating conversational AI with contact-centre infrastructure – IVR, CTI, telephony, CRM, billing and knowledge systems – and delivering clean, context-aware handoffs to human agents
Demonstrable ability to estimate, scope and size features accurately in an Agile delivery environment, and to explain and defend those estimates to stakeholders
Experience coaching and upskilling multidisciplinary teams – engineers, designers, BAs and QA – through pairing, mentoring, code review and written guidance, without formal line-management authority
Comfort working in regulated / high-compliance environments, including GDPR, PII handling, PEN testing and security governance

Job Responsibility

Lead the Voice AI engineering team as a hands-on technical lead. Setting direction, reviewing designs and code, pairing with engineers, and writing production code yourself
Drive accurate sizing and estimation by establishing the engineering building blocks, reference implementations and reusable components that let the team break new features down into well-understood units of work
Raise the engineering bar across the team – introduce and enforce best practice for prompt engineering, evals, regression testing, latency budgeting, observability, CI/CD and release management for LLM-driven systems – through code review, pairing, internal guilds, brown-bags and written playbooks
Build the evaluation and test harness that every voice agent is measured against – automated scenario coverage, regression suites, latency and load testing, live call replay – so we know objectively whether each release is better than the last
Integrate voice agents cleanly with our contact-centre platform, CRM, billing, knowledge and identity systems, and design the handoff patterns that let us escalate to a human agent with full context
Partner with Data Security, InfoSec and our governance forums to streamline the engineering path to production – resolving incident runbooks, ownership models and PEN test blockers – and shorten our cycle time for every future release
Confirm and communicate the capability ceiling of our current stack, identify where different tooling is needed, and feed this back into the roadmap so we scope future packages based on engineering reality

Ai Team Lead

As an AI Team Lead, you will be responsible for designing, developing, and deplo...

Location

Pakistan , Islamabad

Salary:

Not provided

10Pearls

Expiration Date

Until further notice

Requirements

Bachelor's or master's degree in computer science, AI, Data Science, or related field
7+ years of relevant experience in AI, machine learning, or software engineering
Strong proficiency in Python and backend development
Hands-on experience with LLM APIs (OpenAI, Anthropic, Gemini, etc.)
Experience building AI applications such as chatbots, RAG systems, or AI assistants (using Langchain, Langgraph, CrewAI)
Strong understanding of APIs, system integration, and scalable architecture
Experience with vector databases (Pinecone, FAISS, Weaviate, pgvector, etc.)
Knowledge of prompt engineering and LLM evaluation techniques
Experience deploying AI solutions into production environments
Strong analytical, problem-solving, and communication skills

Job Responsibility

Lead and mentor a team of AI/ML engineers, driving technical excellence and delivery
Design and develop AI-powered applications using LLM APIs (OpenAI, Claude, Gemini, etc.)
Build and optimize Retrieval-Augmented Generation (RAG) systems including Agentic RAG architectures leveraging vector databases and semantic search functionalities
Develop scalable backend services and APIs (FastAPI, Flask, etc.) to integrate AI models into products
Implement prompt engineering techniques to improve accuracy, reliability, and performance of AI systems
Design and develop AI-driven solutions such as chatbots, virtual assistants, and document processing systems
(Preferred) Build agentic AI systems with multi-step workflows, tool usage, and autonomous decision-making
Collaborate with data engineers and ML engineers to design end-to-end AI/ML solutions
Ensure production deployment, monitoring, and performance optimization of AI systems
Drive best practices in code quality, architecture, and system scalability

Fulltime

Technical Lead, Cloud Platform Engineer (Civil Aviation)

ASI's mission-critical technology powers decision-making across aviation, defens...

Location

United States , Boston

Salary:

Not provided

Air Space Intelligence

Expiration Date

Until further notice

Requirements

Strong experience building and operating highly reliable cloud platforms (e.g., ~99.99% uptime)
Deep expertise in AWS, with a strong understanding of multi-region and highly available architectures
Proficiency with Kubernetes and containerized environments, along with infrastructure-as-code tools (e.g., Terraform, Helm)
Experience designing and maintaining CI/CD pipelines that support safe, frequent production releases
Hands-on experience with progressive delivery techniques (e.g., canary deployments, safe rollback strategies)
Strong understanding of observability and monitoring systems (e.g., Grafana, Prometheus)
Experience leading small teams (1-2+ years) while remaining hands-on
Ability to own platform architecture end-to-end, from design through production operations
Proven track record of driving reliability culture and production excellence across teams
Experience operating and supporting 24/7 production systems

Job Responsibility

Own the architecture, reliability, and evolution of a cloud platform supporting mission-critical aviation systems
Lead a small team while remaining deeply hands-on, building and operating infrastructure that must scale globally, maintain ~99.99% availability, and support safe, continuous delivery in a 24/7 environment
Define and drive platform architecture, establishing best practices for infrastructure-as-code, Kubernetes-based systems, deployment pipelines, and production operations
Own reliability end-to-end, designing for failure, implementing observability (metrics, logging, tracing), and leading incident response, postmortems, and continuous improvement efforts
Manage and develop a small team of engineers—setting clear direction, establishing high standards, and creating the systems that enable teams to operate autonomously while maintaining a strong culture of reliability and ownership

Fulltime

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Technical Team Lead – LLM Systems

Job Description

Job Responsibility

Requirements

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What we offer

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